---
library_name: model2vec
license: mit
model_name: cnmoro/custom-model2vec-tokenlearn-medium
tags:
- embeddings
- static-embeddings
- sentence-transformers
language:
- pt
- en
---
A custom model2vec model, trained using a modified version of the [tokenlearn](https://github.com/MinishLab/tokenlearn) library.

Base model is nomic-ai/nomic-embed-text-v2-moe.

The output dimension is 256, and the vocabulary size is 249.999

The training process used a mix of English (10%) and Portuguese (90%) texts.

```python
from model2vec import StaticModel

# Load a pretrained Sentence Transformer model
model = StaticModel.from_pretrained("cnmoro/custom-model2vec-tokenlearn-medium")

# Compute text embeddings
embeddings = model.encode(["Example sentence"])
```